Top Machine Learning Jobs in Paris

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

The Senior Generative AI Engineer will develop AI tools for testing, bug fixing, and optimizing performance, collaborating closely with users and teams to deliver effective solutions.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

As a Senior LLM Engineer, you will develop AI-assisted tools, collaborate with teams, prototype products, and improve software engineering through LLMs.

Design and develop AI-assisted tools for software development, working closely with designers, PMs, and data scientists, and iterating based on user feedback.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Trading Risk Analyst supports sales and trading, manages trade processes, analyzes P&L, and collaborates with teams on technology and operational workflows.

The Strategic Sales Executive will sell Identity Governance Administration solutions to multinational organizations, engaging with senior decision-makers and navigating lengthy sales cycles.

The Junior Sales Engineer coordinates with Account Representatives, designs technical solutions, delivers training, supports clients, and creates prototypes while ensuring successful implementations.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

The Fullstack Developer will design user experiences, build reusable components, and develop products combining web technologies and machine learning while collaborating with product teams.

As a Machine Learning Engineer at Doctrine, you will develop NLP models and conversational agents to streamline legal information access and enhance product features.

The role involves assisting the D-STAR Product Team with daily tasks, preparing content for meetings, monitoring user adoption, coordinating with other teams, and supporting Digital Acceleration initiatives.

As an AI Solutions Architect, you will design scalable AI architectures, assess technical feasibility, optimize solutions for performance and reliability, and provide technical leadership across teams to ensure successful AI deployments.

The role involves designing, implementing, and maintaining scalable Android features, collaborating with teams, ensuring app performance and stability, and driving engineering culture.

Support building and deploying data pipelines, develop and calibrate ML/NLP/image models for fraud and claims, collaborate with clients and sales, conduct R&D, and participate across the Data Science product lifecycle.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

The Territory Account Manager will develop and manage a partner network, drive sales growth, and provide strategic guidance to partners and customers while managing the full sales cycle and reporting on performance.

The role involves innovating in AdTech research, collaborating with teams to develop production features, and managing the end-to-end model lifecycle in high-throughput online environments.

As an AI Product Manager, you will lead AI product development, collaborate with teams, conduct market research, and ensure alignment with user needs.

As an AI Research Engineer, develop reinforcement learning algorithms, optimize decision-making, debug and enhance learning pipelines, and integrate models into production systems.

Own the end-to-end AI Scribe product: define strategy, improve clinical ASR quality, build ML evaluation and monitoring, collaborate with clinicians and engineers, and drive Germany market launch to reduce clinician documentation burden.

Design, implement, and validate automated manufacturing and test systems. Improve OEE and reliability, integrate automation with ERP/MES, build OEE dashboards and predictive maintenance, prototype robotics solutions, standardize architectures, and train technical staff.

You will leverage your technical expertise and sales leadership to drive revenue growth, build partnerships, and represent technology to engineering companies, focusing on capturing new business opportunities in Europe.